Sensorless SynRG Based Variable Speed Wind Generator and Single-Stage Solar PV Array Integrated Grid System With Maximum Power Extraction Capability

2020 ◽  
Vol 67 (9) ◽  
pp. 7529-7539 ◽  
Author(s):  
Deepu Vijay. M ◽  
Bhim Singh ◽  
Gurumoorthy Bhuvaneswari
2021 ◽  
pp. 1-33
Author(s):  
Shahroz Anjum ◽  
Vivekananda Mukherjee ◽  
Gitanjali Mehta

Abstract Individual performance of photovoltaic (PV) modules is contravened by mismatch losses which results in blockage in most of the solar power generated by the PV array (PVA). Partial shading conditions (PSCs) are the main causes of these losses. Several techniques have been discussed to reduce the issues caused by PSCs. Reconfiguration techniques have been proven to be one of the most successful methods that help towards this cause. In this method, the location of PV module (PVM) in the PVA is reconfigured so that the shading effects get distributed throughout the entire array and, hence, maximizing the power output. Two novel reconfiguration patterns such as canonical SuDoKu (CS) and multi diagonal SuDoKu (MDS) for total cross tied (TCT) configuration have been put forth in this manuscript. This approach aims to rearrange the PVMs in the TCT array as per the fed in patterns without causing a change in the internal electrical connections. Further parts of the manuscript focus on the comparison of the proposed pattern's performance with other pre-existing PVA arrangements such as, TCT, SuDoKu, optimal SuDoKu (OS) and modified SuDoku (MS) by taking into account the effects of global maximum power (GMP) point, mismatch power loss, fill factor and performance ratio. The results obtained from the detailed analysis presented in this paper gives proper evidence that, in many cases, the GMP is amplified in the CS and, in all cases, GMP is amplified in the proposed MDS PVA under different shading conditions.


2021 ◽  
pp. 1-36
Author(s):  
Shahroz Anjum ◽  
Vivekananda Mukherjee ◽  
Gitanjali Mehta

Abstract This manuscript focuses on the rearrangement of the structure of the photovoltaic (PV) array under different shading conditions. It aims to analyze the mismatch power losses (MPLs) due to irregular illumination over PV array (PVA). The impact of partial irradiance not only affects the electrical power but also causes multiple peaks in the P-V and I-V curves. The formulation of the best PVA configuration (PVAC) to achieve maximum output even under partial shading conditions is the deciding factor for the topologies considered. To aid the maximum power extraction, a new SuDoKu PVAC is designed like hyper SuDoKu (HS). This new structure is compared with the already existing PVACs such as bridge link, honey comb, series parallel, total cross-tied, and SuDoKu in the effect of considerable cases of shadowing. MATLAB/SIMULINK is used for the designing and computer based modeling of all these PVACs is considered in this work. The evaluation of these arrangements has been done by keeping several performance factors as the deciding pivot points. These factors include MPL, efficiency, global maximum power point (GMPP), and fill factor (FF). The results obtained through this document suggest that the HS arrangement proposed here gives the best outcome for each shading condition. The proposed HS structural arrangement of PVA deals with significantly superior GMPP, FF and efficiency while maintaining minimum MPL in comparison to the other arrangements.


2015 ◽  
Vol 43 ◽  
pp. 102-110 ◽  
Author(s):  
Shubhankar Niranjan Deshkar ◽  
Sumedh Bhaskar Dhale ◽  
Jishnu Shekar Mukherjee ◽  
T. Sudhakar Babu ◽  
N. Rajasekar

2018 ◽  
Vol 9 (1) ◽  
pp. 74-85 ◽  
Author(s):  
Thanikanti Sudhakar Babu ◽  
J. Prasanth Ram ◽  
Tomislav Dragicevic ◽  
Masafumi Miyatake ◽  
Frede Blaabjerg ◽  
...  

Author(s):  
K Latha Shenoy ◽  
C. Gurudas Nayak ◽  
Rajashekar P. Mandi

As conventional fossil fuel reserves shrink and the danger of climate change prevailing, the need for alternative energy sources is unparalleled. A smart approach to compensate the dependence on electricity generated by burning fossil fuels is through the power generation using grid connected PV system. Partial shading on PV array affects the quantity of the output power in photovoltaic (PV) systems. To extract maximum power from PV under variable irradiance, variable temperature and partial shading condition, various MPPT algorithms are used. Incremental conductance and fuzzy based MPPT techniques are used for maximum power extraction from PV array. Basically 11 kW Solar PV system comprising of PV array coupled with an Inverter through a dc-dc converter is considered for the analysis and output of the inverter is supplied to the load through the LCL filter. An Intelligent controller for maximum power point tracking of PV power is designed. Also, a fuzzy controller for VSC is developed to improve the system performance. The above proposed design has been simulated in the MATLAB/Simulink and analyzed the system performance under various operating conditions. Finally, the performance is evaluated with IEEE 1547 standard for showing the effectiveness of the system.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Palpandian Murugesan ◽  
Prince Winston David ◽  
Praveen Kumar Balachandran ◽  
Ch Santhan Kumar ◽  
Thanikanti Sudhakar Babu ◽  
...  

2021 ◽  
pp. 1-10
Author(s):  
Imran Pervez ◽  
Adil Sarwar ◽  
Afroz Alam ◽  
Mohammad ◽  
Ripon K. Chakrabortty ◽  
...  

Due to its clean and abundant availability, solar energy is popular as a source from which to generate electricity. Solar photovoltaic (PV) technology converts sunlight incident on the solar PV panel or array directly into non-linear DC electricity. However, the non-linear nature of the solar panels’ power needs to be tracked for its efficient utilization. The problem of non-linearity becomes more prominent when the solar PV array is shaded, even leading to high power losses and concentrated heating in some areas (hotspot condition) of the PV array. Bypass diodes used to eliminate the shading effect cause multiple peaks of power on the power versus voltage (P-V) curve and make the tracking problem quite complex. Conventional algorithms to track the optimal power point cannot search the complete P-V curve and often become trapped in local optima. More recently, metaheuristic algorithms have been employed for maximum power point tracking. Being stochastic, these algorithms explore the complete search area, thereby eliminating any chance of becoming trapped stuck in local optima. This paper proposes a hybridized version of two metaheuristic algorithms, Radial Movement Optimization and teaching-learning based optimization (RMOTLBO). The algorithm has been discussed in detail and applied to multiple shading patterns in a solar PV generation system. It successfully tracks the maximum power point (MPP) in a lesser amount of time and lesser fluctuations.


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